Revathi Prabhala's Projects
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Dog Breed Classifier (Udacity project) using PyTorch.
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A toolkit for developing and comparing reinforcement learning algorithms.
This repository performs an exploratory data analysis on the Kaggle dataset https://www.kaggle.com/rashikrahmanpritom/heart-attack-analysis-prediction-dataset. This data set provides the following details about patients that could contribute to heart attack:About dataset Age : Age of the patient Sex : Sex of the patient exang: exercise induced angina (1 = yes; 0 = no) ca: number of major vessels (0-3) cp : Chest Pain type chest pain type Value 1: typical angina Value 2: atypical angina Value 3: non-anginal pain Value 4: asymptomatic trtbps : resting blood pressure (in mm Hg) chol : cholestoral in mg/dl fetched via BMI sensor fbs : (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false) rest_ecg : resting electrocardiographic results Value 0: normal Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV) Value 2: showing probable or definite left ventricular hypertrophy by Estes' criteria thalach : maximum heart rate achieved target : 0= less chance of heart attack 1= more chance of heart attack
Neural network to predict daily bike rentalship (Udacity project) using pyTorch
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
This repository explains my understanding of various RL algorithms and my implementations of them.
Personal blog/ Portfolio